Using Semantic web technology in Multi-Agent systems: a case study in the TAGA Trading agent environment

Travel Agent Game in Agentcities (TAGA) is the framework that extends and enhances the Trading Agent Competition (TAC) scenario to work in Agentcities, an open multi agent environment based on FIPA compliant pla tforms. TAGA uses the semantic web languages and tools (RDF and OWL) to specify and publish the underlying common ontologies; as a content language within the FIPA ACL messages; as the basis for agent knowledge bases via XSB-based reasoning tools; to describe and reason about services. TAGA extends the FIPA protocols to support open market auctions and enriches the Agentcities with auction services. The introducing of the semantic web languages improves the interoperability among agents. TAGA is intended as a platform for research in multi-agent systems, the semantic web and automated trading in dynamic markets as well as a self-contained application for teaching and experimentation with these technologies.
Date: September 30, 2003
Book Title: Proceeding of the 5th International Conference on Electronic Commerce
Type: InProceedings
Pages: 95-101
Downloads: 2018

Has 1 soft copy


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Bibtex


@InProceedings{Using_Semantic_web_technology_in_Multi_A,
  author = "Youyong Zou and Tim Finin and Li Ding and Harry Chen and Rong Pan",
  title = "{Using Semantic web technology in Multi-Agent systems: a case study in the TAGA Trading agent environment}",
  month = "September",
  year = "2003",
  pages = "95-101",
  booktitle = "Proceeding of the 5th International Conference on Electronic Commerce",
}